package org.madao.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.sun.deploy.net.URLEncoder;
import lombok.extern.slf4j.Slf4j;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.madao.common.to.es.SkuEsModel;
import org.madao.common.utils.R;
import org.madao.gulimall.search.config.GulimallElasticSearchConfig;
import org.madao.gulimall.search.constant.EsConstant;
import org.madao.gulimall.search.feign.ProductFeignService;
import org.madao.gulimall.search.service.MallSearchService;
import org.madao.gulimall.search.vo.AttrResponseVo;
import org.madao.gulimall.search.vo.BrandVo;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;
import org.madao.gulimall.search.vo.SearchParam;
import org.madao.gulimall.search.vo.SearchResult;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
@Slf4j
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;

    @Autowired
    ProductFeignService productFeignService;

    @Override
    public SearchResult search(SearchParam param) {
        //1.动态构建出查询需要的DSL语句
        SearchResult result=null;

        //1.准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);

        try {
            //2.执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);

            //3.分析响应数据封装成我们需要的格式
            result=buildSearchResult(response,param);
        } catch (IOException e) {
            e.printStackTrace();
        }

        return result;
    }

    /**
     * 构建结果数据
     *
     * 因为设置了分页，所以只返回两条数据，但聚合则聚合了所有查到的数据
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response,SearchParam param) {
        SearchResult result=new SearchResult();
        //1. 返回的所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels=new ArrayList<>();
        if (hits.getHits()!=null&&hits.getHits().length>0){
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String highlightTitle = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(highlightTitle);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);
        //2.当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos=new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo=new SearchResult.AttrVo();
            //1.得到属性的id
            Long attrId = bucket.getKeyAsNumber().longValue();
            //2。得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            //3.得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
        //3.当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos=new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1.得到品牌的id
            Long brandId = bucket.getKeyAsNumber().longValue();
            //2.得到品牌的名字
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            //3.得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        //4.当前所有商品设计到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");

        List<SearchResult.CatalogVo> catalogVos=new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();//这个泛型是Bucket以及Bucket的子类
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo=new SearchResult.CatalogVo();
            //得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.valueOf(keyAsString));

            //得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        //====以上从聚合信息中获取====
        //5.分页信息-页码
        result.setPageNum(param.getPageNum());
        //5.分页信息——总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //5.分页信息-总页码-计算
        int totalPages=(int)total%EsConstant.PRODUCT_PAGESIZE==0?(int)total/EsConstant.PRODUCT_PAGESIZE:((int)total/EsConstant.PRODUCT_PAGESIZE+1);
        result.setTotalPages(totalPages);

        List<Integer> pageNavs=new ArrayList<>();
        for (int i=1;i<=totalPages;i++){
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        //6.构建面包屑导航功能
        if (param.getAttrs()!=null && param.getAttrs().size()>0){
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                //1.分析每个attrs传过来的查询参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.attrInfo(Long.valueOf(s[0]));
                if (r.getCode()==0){
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                }else {
                    navVo.setNavName(s[0]);
                }
                //2.取消了这个面包屑以后，我们要跳转到哪个地方，将请求地址的url里面的当前置空
                String replace = replaceQueryString(param, attr,"attrs");
                navVo.setLink("http://search.gulimall.com/list.html?"+replace);

                return navVo;
            }).collect(Collectors.toList());
            result.setNavs(collect);
        }

        //品牌
        if (param.getBrandId()!=null && param.getBrandId().size()>0){
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();

            navVo.setNavName("品牌");
            //TODO 远程查询所有品牌
            R r = productFeignService.brandsInfo(param.getBrandId());
            if (r.getCode()==0){
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace="";
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getName()+";");
                    replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.gulimall.com/list.html?"+replace);
            }

            navs.add(navVo);
        }

        //TODO 分类：不需要导航取消

        return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        String encode=null;
        try {
            encode= URLEncoder.encode(value, "UTF-8");
            //浏览器传的空格，在java里会翻译成加号，浏览器对空格编码和java不一样
            encode=encode.replace("+","%20");
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }

        String replace = param.get_queryString().replace("&"+key+"=" + encode, "");
        return replace;
    }

//    /**
//     * 准备检索请求        咱也不知道这个方法哪里错了
//     * @return
//     * @param param
//     */
//    private SearchRequest buildSearchRequest(SearchParam param) {
//        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();//构建DSL语句
//
//        /**
//         * 查询：模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
//         */
//        //1.构建bool - query
//        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
//        //1.1 must-模糊匹配
//        if (!StringUtils.isEmpty(param.getKeyword())){
//            boolQuery.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));
//        }
//        //1.2 bool-filter - 按照三级分类id查询
//        if (param.getCatalog3Id()!=null){
//            boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
//        }
//        //1.3 bool-filter - 按照品牌id查询
//        if (param.getBrandId()!=null && param.getBrandId().size()>0){
//            boolQuery.filter(QueryBuilders.termQuery("brandId",param.getBrandId()));
//        }
//        //1.4 bool-filter - 按照指定的属性查询
//        if (param.getAttrs()!=null&&param.getAttrs().size()>0){
//            for (String attrStr : param.getAttrs()){
//                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
//                String[] s=attrStr.split("_");
//                String attrId=s[0];//检索的属性id
//                String[] attrValues = s[1].split(":");//这个属性的检索用的值
//                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
//                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValues));
//                //每一个必须都得生成一个nested查询
//                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
//                boolQuery.filter(nestedQuery);
//            }
//        }
//
//        //1.5 bool-filter - 按照库存是否有进行查询
//        if (param.getHasStock()!=null){
//            boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock()==1));
//        }
//
//        //1.6 bool-filter - 按照价格区间进行查询
//        if (!StringUtils.isEmpty(param.getSkuPrice())){
//            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
//
//            String[] s=param.getSkuPrice().split("_");
//            if (s.length==2){
//                rangeQuery.gte(s[0]).lte(s[1]);
//            }else if (s.length==1){
//                if (param.getSkuPrice().startsWith("_")){
//                    rangeQuery.lte(s[1]);
//                }
//
//                if (param.getSkuPrice().endsWith("_")){
//                    rangeQuery.gte(s[0]);
//                }
//            }
//            boolQuery.filter(rangeQuery);
//        }
//
//        //把以前的所有条件都拿来进行封装
//        sourceBuilder.query(boolQuery);
//
//        /**
//         * 排序，分页，高亮
//         */
//        //2.1排序
//        if (!StringUtils.isEmpty(param.getSort())){
//            String sort = param.getSort();
//            String[] s=sort.split("_");
//            SortOrder order = "asc".equalsIgnoreCase(s[1]) ? SortOrder.ASC : SortOrder.DESC;
//            sourceBuilder.sort(s[0],order);
//        }
//        //2.2分页
//        //pageNum:1  from:0  size:5 [0,1,2,3,4]  from从0开始
//        sourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
//        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
//
//        //2.3高亮
//        if (!StringUtils.isEmpty(param.getKeyword())){
//            HighlightBuilder highlightBuilder = new HighlightBuilder();
//            highlightBuilder.field("skuTitle");
//            highlightBuilder.preTags("<b style='color:red'>");
//            highlightBuilder.postTags("</b>");
//            sourceBuilder.highlighter(highlightBuilder);
//
//        }
//
//        /**
//         * 聚合分析
//         */
//        //1.品牌聚合
//        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
//        brand_agg.field("brandId").size(50);
//        //品牌聚合的子聚合
//        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
//        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
//        //TODO 1.聚合brand
//        sourceBuilder.aggregation(brand_agg);
//        //2.分类聚合 catalog_agg
//        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
//        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
//        //TODO 2.聚合catalog
//        sourceBuilder.aggregation(catalog_agg);
//        //3.属性聚合 attr_agg
//        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
//        //聚合出当前所有的attrId
//        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
//        //聚合分析出当前attr_id对应的名字
//        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
//        //聚合分析出当前attr_id对应的所有可能的属性值attrValue
//        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
//
//        attr_agg.subAggregation(attr_id_agg);
//        //TODO 3.聚合attr
//        sourceBuilder.aggregation(attr_agg);
//
//        String s=sourceBuilder.toString();
//        System.out.println("构建的DSL语句"+s);
//
//        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
//        return searchRequest;
//    }
    /**
     * 准备检索请求
     * 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存），排序，分页，高亮，聚合分析
     *
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        // 检索请求构建
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        /**
         * 查询：模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
         */
        //1. 构建 bool-query
        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();

        //1.1 bool-must 模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQueryBuilder.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }

        //1.2.1 bool-filter catalogId 按照三级分类id查询
        if (null != param.getCatalog3Id()) {
            boolQueryBuilder.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //1.2.2 bool-filter brandId 按照品牌id查询
        if (null != param.getBrandId() && param.getBrandId().size() > 0) {
            boolQueryBuilder.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //1.2.3 bool-filter attrs 按照指定的属性查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            param.getAttrs().forEach(item -> {
                //attrs=1_5寸:8寸&2_16G:8G
                BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();

                //attrs=1_5寸:8寸
                String[] s = item.split("_");
                String attrId = s[0]; // 检索的属性id
                String[] attrValues = s[1].split(":");//这个属性检索用的值
                boolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                boolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));

                // 每一个属性都要生成一个 nested 查询
                NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs", boolQuery, ScoreMode.None);
                boolQueryBuilder.filter(nestedQueryBuilder);
            });

        }
        //1.2.4 bool-filter hasStock 按照是否有库存查询
        if (null != param.getHasStock()) {
            boolQueryBuilder.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }
        //1.2.5 skuPrice bool-filter 按照价格区间查询
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            //skuPrice形式为：1_500或_500或500_
            RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("skuPrice");
            String[] price = param.getSkuPrice().split("_");
            if (price.length == 2) {
                rangeQueryBuilder.gte(price[0]).lte(price[1]);
            } else if (price.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQueryBuilder.lte(price[1]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQueryBuilder.gte(price[0]);
                }
            }
            boolQueryBuilder.filter(rangeQueryBuilder);
        }

        // 封装所有的查询条件
        searchSourceBuilder.query(boolQueryBuilder);


        /**
         * 排序，分页，高亮
         */
        // 2.1 排序  形式为sort=hotScore_asc/desc
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            // sort=hotScore_asc/desc
            String[] sortFields = sort.split("_");

            SortOrder sortOrder = "asc".equalsIgnoreCase(sortFields[1]) ? SortOrder.ASC : SortOrder.DESC;
            searchSourceBuilder.sort(sortFields[0], sortOrder);
        }

        // 2.2 分页 from = (pageNum - 1) * pageSize
        searchSourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        searchSourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

        // 2.3 高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder highlightBuilder = new HighlightBuilder();
            highlightBuilder.field("skuTitle");
            highlightBuilder.preTags("<b style='color:red'>");
            highlightBuilder.postTags("</b>");

            searchSourceBuilder.highlighter(highlightBuilder);
        }

        System.out.println("构建的DSL语句" + searchSourceBuilder.toString());

        /**
         * 聚合分析
         */
        //1. 按照品牌进行聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);

        //1.1 品牌的子聚合-品牌名聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        //1.2 品牌的子聚合-品牌图片聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        searchSourceBuilder.aggregation(brand_agg);

        //2. 按照分类信息进行聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");
        catalog_agg.field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        searchSourceBuilder.aggregation(catalog_agg);

        // 3. 按照属性信息进行聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //3.1 按照属性ID进行聚合
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        attr_agg.subAggregation(attr_id_agg);
        //3.1.1 在每个属性ID下，按照属性名进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //3.1.2 在每个属性ID下，按照属性值进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        searchSourceBuilder.aggregation(attr_agg);

        log.debug("构建的DSL语句 {}", searchSourceBuilder.toString());

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, searchSourceBuilder);
        return searchRequest;
    }
}
